Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

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Ultrasensitive Detection of Circulating Plasma Cells Using Surface-Enhanced Raman Spectroscopy and Machine Learning for Multiple Myeloma Monitoring.

Multiple myeloma is a hematologic malignancy characterized by the proliferation of abnormal plasma c...

Deep-Learning-Assisted Digital Fluorescence Immunoassay on Magnetic Beads for Ultrasensitive Determination of Protein Biomarkers.

Digital fluorescence immunoassay (DFI) based on random dispersion magnetic beads (MBs) is one of the...

Challenges and compromises: Predicting unbound antibody structures with deep learning.

Therapeutic antibodies are manufactured, stored and administered in the free state; this makes under...

MSMDL-DDI: Multi-Layer Soft Mask Dual-View Learning for Drug-Drug Interactions.

Drug-drug interactions (DDIs) occur when multiple medications are co-administered, potentially leadi...

SAC-BL: A hypothesis testing framework for unsupervised visual anomaly detection and location.

Reconstruction-based methods achieve promising performance for visual anomaly detection (AD), relyin...

ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal.

Shadow removal remains a challenging visual task aimed at restoring the original brightness of shado...

SAF-IS: A spatial annotation free framework for instance segmentation of surgical tools.

Instance segmentation of surgical instruments is a long-standing research problem, crucial for the d...

Interpretable COVID-19 chest X-ray detection based on handcrafted feature analysis and sequential neural network.

Deep learning methods have significantly improved medical image analysis, particularly in detecting ...

Machine learning based prediction models for the prognosis of COVID-19 patients with DKA.

Patients with Diabetic ketoacidosis (DKA) have increased critical illness and mortality during coron...

Serum decorin and biglycan levels as predictive biomarkers for lung fibrosis severity and mortality risk in COVID-19 patients.

INTRODUCTION: Individuals experiencing severe symptoms of COVID-19 are at the greatest risk of devel...

A scalable tool for analyzing genomic variants of humans using knowledge graphs and graph machine learning.

Advances in high-throughput genome sequencing have enabled large-scale genome sequencing in clinical...

Accelerated enzyme engineering by machine-learning guided cell-free expression.

Enzyme engineering is limited by the challenge of rapidly generating and using large datasets of seq...

Automated post-run analysis of arrayed quantitative PCR amplification curves using machine learning.

BACKGROUND: The TaqMan Array Card (TAC) is an arrayed, high-throughput qPCR platform that can simult...

An effective COVID-19 classification in X-ray images using a new deep learning framework.

BackgroundThe global concern regarding the diagnosis of lung-related diseases has intensified due to...

Deep Learning-Derived Quantitative Scores for Chronic Rhinosinusitis Assessment: Correlation With Quality of Life Outcomes.

BackgroundComputed tomography (CT) plays a crucial role in assessing chronic rhinosinusitis, but lac...

Clinical evaluation of a multiplex droplet digital PCR for diagnosing suspected bloodstream infections: a prospective study.

BACKGROUND: Though droplet digital PCR (ddPCR) has emerged as a promising tool for early pathogen de...

"Three-in-one" Analysis of Proteinuria for Disease Diagnosis through Multifunctional Nanoparticles and Machine Learning.

Urinalysis is one of the predominant tools for clinical testing owing to the abundant composition, s...

Novel approach for quality control testing of medical displays using deep learning technology.

In digital image diagnosis using medical displays, it is crucial to rigorously manage display device...

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